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The impact of intrinsic muscle properties on simulated reaching performance

Musculoskeletal modelling is used widely for studying limb motion and its control, but simulation outcomes may depend heavily on the underlying muscle model used. The aim of this study was to investigate how intrinsic muscle properties affect reaching movements in a simple upper limb model. The simu...

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Detalles Bibliográficos
Autores principales: Murtola, Tiina, Richards, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153064/
https://www.ncbi.nlm.nih.gov/pubmed/35770821
http://dx.doi.org/10.1080/10255842.2022.2089022
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author Murtola, Tiina
Richards, Christopher
author_facet Murtola, Tiina
Richards, Christopher
author_sort Murtola, Tiina
collection PubMed
description Musculoskeletal modelling is used widely for studying limb motion and its control, but simulation outcomes may depend heavily on the underlying muscle model used. The aim of this study was to investigate how intrinsic muscle properties affect reaching movements in a simple upper limb model. The simulations suggest that more realistic, higher-order activation dynamics requires longer prediction from a forward model and gives rise to a higher level of unplanned co-contraction than simple activation models. Consistent with prior work, muscle force-length-velocity properties stabilised and smoothed limb movements and furthermore helped promote accurate reaching performance with the high-order activation model.
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spelling pubmed-101530642023-05-03 The impact of intrinsic muscle properties on simulated reaching performance Murtola, Tiina Richards, Christopher Comput Methods Biomech Biomed Engin Articles Musculoskeletal modelling is used widely for studying limb motion and its control, but simulation outcomes may depend heavily on the underlying muscle model used. The aim of this study was to investigate how intrinsic muscle properties affect reaching movements in a simple upper limb model. The simulations suggest that more realistic, higher-order activation dynamics requires longer prediction from a forward model and gives rise to a higher level of unplanned co-contraction than simple activation models. Consistent with prior work, muscle force-length-velocity properties stabilised and smoothed limb movements and furthermore helped promote accurate reaching performance with the high-order activation model. Taylor & Francis 2022-06-30 /pmc/articles/PMC10153064/ /pubmed/35770821 http://dx.doi.org/10.1080/10255842.2022.2089022 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Murtola, Tiina
Richards, Christopher
The impact of intrinsic muscle properties on simulated reaching performance
title The impact of intrinsic muscle properties on simulated reaching performance
title_full The impact of intrinsic muscle properties on simulated reaching performance
title_fullStr The impact of intrinsic muscle properties on simulated reaching performance
title_full_unstemmed The impact of intrinsic muscle properties on simulated reaching performance
title_short The impact of intrinsic muscle properties on simulated reaching performance
title_sort impact of intrinsic muscle properties on simulated reaching performance
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153064/
https://www.ncbi.nlm.nih.gov/pubmed/35770821
http://dx.doi.org/10.1080/10255842.2022.2089022
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